Assessment of Renewable Energy Resources with Remote Sensing |
Autore | Martins Fernando Ramos |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (244 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
metaheuristic
parameter extraction solar photovoltaic whale optimization algorithm cloud detection digitized image processing artificial neural networks solar irradiance estimation solar irradiance forecasting solar energy sky camera remote sensing CSP plants coastal wind measurements scanning LiDAR plan position indicator velocity volume processing Hazaki Oceanographical Research Station cloud coverage image processing total sky imagery geothermal energy geophysical prospecting time domain electromagnetic method electrical resistivity tomography potential well field location GES-CAL software smart island solar radiation forecasting light gradient boosting machine multistep-ahead prediction feature importance voxel-design approach shading envelopes point cloud data computational design method passive design strategy lake breeze influence hydropower reservoir solar irradiance enhancement solar energy resource wind speed extreme value analysis scatterometer feature engineering forecasting graphical user interface software machine learning photovoltaic power plant surface solar radiation global radiation satellite Baltic area coastline cloud convection climate renewable energy resource assessment and forecasting remote sensing data acquisition data processing statistical analysis machine learning techniques |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557427903321 |
Martins Fernando Ramos | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Modeling and Optimal Operation of Hydraulic, Wind and Photovoltaic Power Generation Systems |
Autore | Li Chaoshun |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (212 p.) |
Soggetto topico |
Research & information: general
Physics |
Soggetto non controllato |
doubly-fed variable-speed pumped storage
Hopf bifurcation stability analysis parameter sensitivity pumped storage unit degradation trend prediction maximal information coefficient light gradient boosting machine variational mode decomposition gated recurrent unit high proportional renewable power system active power change point detection maximum information coefficient cosine similarity anomaly detection thermal-hydraulic characteristics hydraulic oil viscosity hydraulic PTO wave energy converter pumped storage units pressure pulsation noise reduction sparrow search algorithm hybrid system facility agriculture chaotic particle swarms method operation strategy stochastic dynamic programming (SDP) power yield seasonal price reliability cascaded reservoirs doubly-fed variable speed pumped storage power station nonlinear modeling nonlinear pump turbine characteristics pumped storage units (PSUs) successive start-up ‘S’ characteristics low water head conditions multi-objective optimization fractional order PID controller (FOPID) hydropower units comprehensive deterioration index long and short-term neural network ensemble empirical mode decomposition approximate entropy 1D–3D coupling model transition stability sensitivity analysis hydro power |
ISBN | 3-0365-5838-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910637780603321 |
Li Chaoshun | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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